Software Reliability Growth Models is popular PDF and ePub book, written by David D. Hanagal in 2021-02-26, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Software Reliability Growth Models can be Read Online from any device for your convenience.

Software Reliability Growth Models Book PDF Summary

This book presents the basic concepts of software reliability growth models (SRGMs), ranging from fundamental to advanced level. It discusses SRGM based on the non-homogeneous Poisson process (NHPP), which has been a quite successful tool in practical software reliability engineering. These models consider the debugging process as a counting process characterized by its mean value function. Model parameters have been estimated by using either the maximum likelihood method or regression. NHPP SRGMs based on inverse Weibull, generalized inverse Weibull, extended inverse Weibull, generalized extended inverse Weibull, and delayed S-shaped have been focused upon. Review of literature on SRGM has been included from the scratch to recent developments, applicable in artificial neural networks, machine learning, artificial intelligence, data-driven approaches, fault-detection, fault-correction processes, and also in random environmental conditions. This book is designed for practitioners and researchers at all levels of competency, and also targets groups who need information on software reliability engineering.

Detail Book of Software Reliability Growth Models PDF

Software Reliability Growth Models
  • Author : David D. Hanagal
  • Release : 26 February 2021
  • Publisher : Springer Nature
  • ISBN : 9789811600258
  • Genre : Mathematics
  • Total Page : 104 pages
  • Language : English
  • PDF File Size : 15,5 Mb

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